Remote Sr. Data Engineer

Description:

• Join a pioneering financial services company that is redefining homeownership through innovative, data-driven solutions.
• As a Senior Data Engineer, you will be instrumental in designing and building scalable data pipelines.
• You will transform complex datasets and ensure the reliability of the data infrastructure.
• Working closely with data scientists and analysts, you will provide critical insights that shape strategic decisions.
• This role offers you the opportunity to contribute to cutting-edge projects and help shape the future of data architecture in a fast-paced, collaborative environment.

Requirements:

• You must have 5+ years of Python development experience.
• Experience with AWS is required, including services like DynamoDB, S3, EMR, Glue, Athena, and Redshift.
• You should have knowledge of distributed computing engines, such as Apache Spark.
• Proficiency in both relational and non-relational databases, along with data modeling expertise, is necessary.
• Experience setting up code pipelines using CloudFormation or Terraform is required.
• Familiarity with ETL pipeline development in OLAP and Data Warehouse environments is essential.
• Hands-on experience with orchestration tools like Airflow is needed.
• You must understand serverless architectures and scalable application design principles.
• Proficiency with version control systems, particularly Git, is required.
• Experience with Node.js, DevOps, and CI/CD practices is a plus.
• A background in cloud technologies (AWS or Azure) and fintech or banking is desirable.

Benefits:

• This position offers the opportunity to work remotely, providing flexibility in your work environment.
• You will be part of a team that is at the forefront of innovative financial solutions.
• The role allows for collaboration with cross-functional teams, enhancing your professional network and skills.
• You will have the chance to influence and communicate effectively at all levels within the organization.
• The company supports continuous learning and development in data engineering and related technologies.